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Patent search guide

Patent landscape analysis: how to map a technology field

By , Co-founder, PatentAssist.ai
Updated

A patent landscape analysis takes every patent family in a defined field and turns it into answers: who is filing, where, how fast, on what, and what is left open. Done well it guides R&D spend, market entry and deals. Done badly it produces confident charts built on duplicated families, misspelled company names and a two-year dip that is really just the publication lag. This guide sets out a method that avoids those traps, using US and European data sources.

Quick answer

  • Start with a question, not a dataset: who to partner with, where the gaps are, which markets competitors protect.
  • Build the dataset from CPC or IPC codes plus keywords, and test it for precision and recall.
  • Clean it: group into families, normalize applicant names, fix dates.
  • Core metrics: families per priority year, top applicants, filing countries, sub-technology mix, legal status.
  • Biggest trap: applications publish about 18 months after priority, so recent years are always incomplete.

What a landscape is for

A landscape does not say whether you can patent something or whether you infringe. Those are the jobs of a patentability search and a freedom-to-operate search. It answers strategic questions about a whole field, and the question decides the dataset, the metrics and the charts.

Common questions a patent landscape answers
Question Typical audience What the analysis shows
Where is the white space? R&D and product teams Sub-technologies with activity in research but few patent families, or families that have all lapsed.
Who are the players? Strategy, business development Top applicants, new entrants, universities to license from, likely partners or acquirers.
Where are rights being sought? Market entry, FTO planning Which countries competitors file in tells you where they expect to sell and where your FTO work will concentrate.
Is the field growing or maturing? Investors, management Filing trends by priority year, adjusted for the publication lag.
How strong is a portfolio? M&A, licensing Family size, countries covered, grant rate and remaining life of a target's patents compared with peers.

A smaller cousin is the state-of-the-art search: the 20 to 50 most relevant documents in a field, read and summarized, without statistics. It is often the first phase of a landscape, and on its own it is a good way for a new R&D team to learn a field.

Building the dataset

Write a scope statement first: what is in, what is out, the date range and the jurisdictions. Then build the query from two parts.

  • Classification. The Cooperative Patent Classification, shared by the EPO and the USPTO and compatible with the WIPO's IPC, is applied by examiners and catches documents that use unusual wording. Use IPC when you need older or wider national coverage that lacks CPC codes.
  • Keywords. Classification groups are rarely an exact fit for a business question. Combine them with keywords and synonyms in titles, abstracts and claims, to add documents classified elsewhere and to cut noise inside broad groups.

Then test the query. Read a random sample of 50 to 100 hits and count how many are on topic: that is your precision. Collect a set of documents you know belong, for example from competitors' product pages or a review article, and check how many the query finds: that is your recall. Adjust and repeat. A landscape with 60% precision will have charts that are 40% noise.

Where to get the data:

Data sources for patent analysis
Source Good for
Espacenet (EPO) Free, worldwide, more than 150 million documents, CPC search and family grouping. Best for scoping and testing queries.
PATSTAT (EPO) Bibliographic, legal and procedural data built for statistical analysis. Free through the EPO's Technology Intelligence Platform; PATSTAT Online is also offered.
USPTO Patent Public Search Full text of US grants and published applications, with CPC.
USPTO Open Data Portal Bulk US patent data and APIs for building your own dataset. PatentsView now redirects here.
WIPO PATENTSCOPE PCT applications and many national collections; useful for international filing patterns.

Cleaning: where most of the work is

  1. Group into families. One invention filed in the US, at the EPO and in China is one family but three or more documents. The EPO's DOCDB simple family groups documents with the same technical content; the INPADOC extended family is wider and links documents through any shared priority. Pick one, use it throughout, and say which.
  2. Normalize applicant names. "Acme Corp", "ACME Corporation", "Acme Inc." and the Japanese subsidiary are one player. Build a lookup table, and decide whether to roll subsidiaries and acquisitions up to the parent.
  3. Fix the date field. Use the earliest priority date of the family for trends. WIPO's guidelines discuss the trade-offs between application, priority and publication years; whichever you choose, label it on every chart.
  4. Remove noise. Read the titles of the largest clusters and of the top applicants' families. Off-topic documents tend to come in batches from one broad code or one ambiguous keyword.
  5. Tag sub-technologies. Either by CPC subgroup, or by reading and tagging, or by clustering on text. Hand-tagging a few hundred families is often the most valuable part of the whole project.

Metrics that matter, and their traps

Patent landscape metrics and common pitfalls
Metric What it shows Watch out for
Families by earliest priority year Activity over time, closest to when the R&D happened. The last 18 to 30 months look like a collapse because those filings have not published yet.
Top applicants (families) Who is investing. Unclean names split one company into five; subsidiaries hide under other names.
Filing countries per family Target markets and how much each applicant values the invention. EP and WO filings are routes, not countries; a WO application may never enter some national phases.
Sub-technology mix (CPC groups or tagged clusters) Where activity is concentrated and where it is moving. One family carries several CPC codes; decide whether to count it once or per code, and say which.
Legal status (granted, pending, lapsed) What is enforceable today, and what is free to use. Status varies by country inside a family; check it in official registers before relying on it.
Forward citations A rough signal of influence. Older documents have had more time to be cited; compare within the same year.

The 18-month publication lag

US applications are published promptly after 18 months from the earliest filing date claimed (35 U.S.C. 122(b)), and European applications after 18 months from filing or priority (Art. 93 EPC). Some US applications are never published before grant: applicants who will not file abroad can request nonpublication, and provisional applications are not published at all. The result is that any chart by priority year falls off a cliff in the most recent two years. WIPO's landscape report guidelines warn that this dip is often mistaken for falling interest, and suggest marking the incomplete period with a line and a note rather than deleting it. Do that, and say so in the text.

Visualizing the results

  • Trends: a line or bar chart of families per priority year, with the incomplete years shaded.
  • Players: a horizontal bar chart of the top 10 to 15 applicants, sorted, with family counts labeled. Avoid pie charts with 20 slices.
  • Applicant by sub-technology: a heatmap or matrix shows who focuses where, and the empty cells are your white-space candidates.
  • Geography: a table or map of filing countries per applicant.

Every chart should state the data source, the query date, the counting unit (families or documents) and the date field. Without those, nobody can reproduce or challenge it.

Worked mini-example: sodium-ion batteries

A battery start-up wants to know whether to focus its patent effort on cathode materials or electrolytes, and which companies to watch. The numbers below are illustrative, not real counts; they show how to read a trend chart, not what the field looks like.

The query starts from CPC H01M 10/054, "accumulators with insertion or intercalation of metals other than lithium", combined with keywords such as "sodium ion", "Na-ion" and "sodium battery". That group also covers magnesium and other metals, so the keywords do real work. A 100-hit sample is read to check precision, and the start-up's own reading list of 30 key patents is used to check recall. Results are grouped into DOCDB families, applicant names cleaned, and families tagged as cathode, anode, electrolyte, cell design or other.

Illustrative families per earliest priority year
Earliest priority year Families (illustrative) Note
2019 100 Index base
2020 130
2021 190
2022 260
2023 330
2024 240 Partly unpublished
2025 70 Mostly unpublished

Read naively, the table says the field peaked in 2023 and is collapsing. It says nothing of the kind. With the search run in October 2026, families first filed in 2025 have mostly not published, and many 2024 families are still missing. The honest statement is: steady growth from 2019 to 2023, with 2024 and 2025 incomplete. If the start-up then finds that cathode families make up most of the growth while electrolyte families are few and spread across many small applicants, that is a lead worth checking with a state-of-the-art read of those documents, not a conclusion on its own.

Scoping a field with PatentAssist

PatentAssist is not a patent analytics platform: it does not build statistical datasets or charts. Where it helps is the scoping and state-of-the-art phase. Describe the technology in plain language and its AI search ranks the most relevant USPTO, EPO and IP India documents, with reasons; field search by CPC or IPC class, applicant and publication date lets you sample a classification group and see who files in it. That is a quick way to find the codes, keywords and key documents for your query before you pull the full dataset.

More patent guides

All guides, by patent office

Patent landscape analysis: frequently asked questions

What is a patent landscape analysis?

A study of all the patent documents in a defined technology area, analyzed statistically and by content, to show who is filing, where, how activity is changing, and where the gaps are. Unlike a patentability or freedom-to-operate search, it does not answer a legal question about one invention or product; it gives a strategic picture of a whole field.

How is a state-of-the-art search different from a landscape?

A state-of-the-art search collects and summarizes the most relevant technical documents in a field, usually to understand the technology or prepare R&D. A landscape adds a structured dataset and statistics: filings over time, applicants, countries and sub-technologies. In practice many projects start with a state-of-the-art search and grow into a landscape.

Why do patent filings seem to drop in the last two years?

Because most patent applications are published 18 months after their earliest priority date (35 U.S.C. 122(b), Art. 93 EPC). Filings made in the last 18 months, and some made before that, are not in any database yet. WIPO's landscape guidelines recommend explaining the drop or marking the incomplete period on charts, rather than presenting it as a decline.

Should I count patents or patent families?

Families, in almost every case. One invention filed in 10 countries is one family but 10 or more documents. Counting documents overweights applicants who file widely. The EPO's DOCDB simple family groups documents with the same technical content; the INPADOC extended family is broader and can merge related inventions.

How do I build the search query for a landscape?

Combine classification codes, such as CPC groups, with keywords and synonyms, then test the query. Read a random sample of hits to measure precision (how many are relevant) and check known relevant documents to estimate recall (how many you caught). Adjust and repeat until both are acceptable, and record the final query in the report.

Sources: WIPO, Guidelines for Preparing Patent Landscape Reports (WIPO/PUB/946, 2015); 35 U.S.C. 122(b); Art. 93 EPC; EPO, patent families; Cooperative Patent Classification and CPC scheme H01M (version 2026.08); Espacenet; PATSTAT. Figures in the worked example are illustrative. This guide is general information, not legal advice.